Does deep learning software improve the consistency and performance of radiologists with various levels of experience in assessing bi-parametric prostate MRI?

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dc.contributor.authorArslan, Aydan
dc.contributor.authorAlis, Deniz
dc.contributor.authorErdemli, Servet
dc.contributor.authorSeker, Mustafa Ege
dc.contributor.authorZeybel, Gokberk
dc.contributor.authorSirolu, Sabri
dc.contributor.authorKurtcan, Serpil
dc.contributor.authorKaraarslan, Ercan
dc.date.accessioned2025-10-16T15:15:44Z
dc.date.issued2023
dc.identifier.doi10.1186/s13244-023-01386-w
dc.identifier.otherWOS:000953971600003
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/6526
dc.publisherSPRINGER WIEN
dc.sourceINSIGHTS INTO IMAGING
dc.subjectDeep learning
dc.subjectMagnetic resonance imaging
dc.subjectProstate cancer
dc.titleDoes deep learning software improve the consistency and performance of radiologists with various levels of experience in assessing bi-parametric prostate MRI?
dc.typeArticle

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